Table 2 Prediction accuracy (± SE) of genomic breeding values in different scenarios of QTL number and percent of QTLs with dominance effect.

Normal distribution

 1000 QTL

0.67 ± 0.04^a

0.64 ± 0.03^a

0.62 ± 0.03^a

0.50 ± 0.04^b

0.46 ± 0.04^b

 500 QTL

0.66 ± 0.04^a

0.65 ± 0.03^a

0.63 ± 0.03^a

0.55 ± 0.04^b

0.51 ± 0.05^c

 100 QTL

0.67 ± 0.05^a

0.66 ± 0.04^a

0.64 ± 0.03^a

0.56 ± 0.04^b

0.51 ± 0.03^c

Uniform distribution

 1000 QTL

0.69 ± 0.03^a

0.67 ± 0.02^a

0.65 ± 0.02^b

0.56 ± 0.03^c

0.53 ± 0.03^c

 500 QTL

0.68 ± 0.04^a

0.66 ± 0.04^a

0.66 ± 0.03^a

0.62 ± 0.03^b

0.55 ± 0.03^c

 100 QTL

0.69 ± 0.02^a

0.68 ± 0.02^a

0.66 ± 0.03^a

0.61 ± 0.03^b

0.57 ± 0.04^b

Gamma distribution

 1000 QTL

0.69 ± 0.03^a

0.67 ± 0.03^a

0.62 ± 0.03^b

0.55 ± 0.03^c

0.52 ± 0.02^c

 500 QTL

0.68 ± 0.04^a

0.67 ± 0.03^a

0.63 ± 0.04^b

0.55 ± 0.03^c

0.51 ± 0.02^c

 100 QTL

0.71 ± 0.03^a

0.69 ± 0.03^a

0.67 ± 0.02^a

0.62 ± 0.03^b

0.60 ± 0.02^b